Event Knowledge and Models of Logical Metonymy Interpretation
نویسنده
چکیده
During language understanding, people do not only rely on what they read or hear, but they also exploit implicit information. For example, when they process the expression begin the book, they understand it involves an event which is not explicitly mentioned (e.g. begin reading the book). This thesis looks at these constructions, known as logical metonymies, which combine an event-selecting verb and entity-denoting object and involve covert events. Logical metonymies are an interesting challenge for theories of lexical semantics: they need to be reconciled with compositionality, they require the integration of context (writers typically write books, students typically read them), and they lie at the interface between lexicon and world knowledge (is the information that books are read stored in our mental lexicon or in our world knowledge?). I critically analyze previous hypotheses on logical metonymy with regard to the answer they provide to two core problems: the source problem (what events are retrieved? what type of event knowledge is assumed?) and the trigger problem (why do some constructions trigger a metonymic interpretation and others do not?). Lexicalist approaches claim that the metonymy arises from a type clash between the event-selecting verb and an entity-denoting object, and posit complex lexical items, encoding event information about artifacts (e.g. book → read), to explain the recovery of covert events. Pragmatic-based approaches argue against the idea that lexical items have an internal structure, suggesting that covert events arise from the underspecification of a logical metonymy and are inferred via non-lexical knowledge. I look with particular attention at the role of event knowledge, which lexicalist approaches place in our mental lexicon, while pragmatic-based approaches place it in our world knowledge. I propose a third hypothesis, based on thematic fit and generalized event knowledge of typical events and their participants, which have been shown to guide efficient incremental processing: I argue that contextual elements cue generalized event knowledge, which plays a key role in determining the covert event for a logical metonymy. I explore
منابع مشابه
Generalized Event Knowledge in Logical Metonymy Resolution
The interpretation of logical metonymies like begin the book has traditionally been explained by assuming the existence of complex lexical entries containing information about event knowledge (qualia roles: reading the book/writing the book). Qualia structure provides concrete constraints on interpretation, which are however too rigid to be cognitively plausible. We suggest generalized event kn...
متن کاملLogical Metonymy in a Distributional Model of Sentence Comprehension
In theoretical linguistics, logical metonymy is defined as the combination of an event-subcategorizing verb with an entity-denoting direct object (e.g., The author began the book), so that the interpretation of the VP requires the retrieval of a covert event (e.g., writing). Psycholinguistic studies have revealed extra processing costs for logical metonymy, a phenomenon generally explained with...
متن کاملType and Thematic Fit in Logical Metonymy
Logical metonymies (begin the book→ reading) involve the understanding of covert events. Lexicalist approaches claim that the metonymy arises from a type clash (event-selecting verb + entity-denoting object), and place (limited) covert event information in the noun’s lexical entry. Recent work suggests that people exploit generalized knowledge about typical events and their participants (quanti...
متن کاملLogical Metonymy Resolution in a Words-as-Cues Framework: Evidence From Self-Paced Reading and Probe Recognition
Logical metonymy resolution (begin a book → begin reading a book or begin writing a book) has traditionally been explained either through complex lexical entries (qualia structures) or through the integration of the implicit event via post-lexical access to world knowledge. We propose that recent work within the words-as-cues paradigm can provide a more dynamic model of logical metonymy, accoun...
متن کاملModeling covert event retrieval in logical metonymy: probabilistic and distributional accounts
Logical metonymies (The student finished the beer) represent a challenge to compositionality since they involve semantic content not overtly realized in the sentence (covert events → drinking the beer). We present a contrastive study of two classes of computational models for logical metonymy in German, namely a probabilistic and a distributional, similarity-based model. These are built using t...
متن کامل